This analytical study evaluated machine learning models (SVM and Random Forest) to predict health symptoms in adults living near mobile phone base stations. The SVM model reportedly achieved high predictive performance for headache, sleep disturbance, dizziness, vertigo, and fatigue, and outperformed Random Forest and prior models. The abstract concludes that proximity to base stations is connected with increased prevalence of several symptoms and emphasizes distance, age, and duration of residence as key predictors.

This letter critiques the WHO-sponsored systematic review by Karipidis et al. (2024) on RF-EMF exposure and cancer risk. The authors argue the review has serious methodological and interpretative flaws, including issues with study selection and data analysis. They contend that the review’s conclusion of "no clear evidence" may be misleading and should not be used as a basis for health policy or safety guidelines.

Moon et al. (2024) report a systematic review and meta-analysis on cellular phone RF-EMR and brain tumor risk. The abstract summary states elevated risks for three brain tumor types in analyses considering ipsilateral (same-side) phone use and reports increased risk with heavy and long-term use. The text also highlights disagreement with the 2024 WHO review and raises methodological concerns about WHO conclusions.

This systematic review and dose-response meta-analysis synthesizes human observational studies on radiofrequency EMF exposure and male fertility outcomes. It reports evidence of an association between RF exposure and poorer sperm parameters, including reduced quality, motility, and viability. The authors frame the findings as consistent with potential reproductive health risks and call for continued risk assessment and guideline development.

This review discusses reports of headaches occurring with hand-held cellular telephone use and argues they are likely real and attributable to telephone emissions. It points to earlier reports of headaches from low-intensity microwave exposure and proposes biological plausibility via effects on the blood-brain barrier and dopamine-opiate systems. The author raises the possibility that such headaches could signal biologically significant effects.

This review summarizes reported biological effects of extremely low frequency (ELF) electric and magnetic fields, describing them as significant and often acting as stressors. Reported outcomes include metabolic, hormonal, and body weight changes in rodents, lethality at high exposure levels in mice and insects, and increased mitotic index in mouse tissues/cells under specified exposure conditions. The review suggests many effects may be mediated through neuroendocrine, nervous system, or behavioral responses to field exposure.

This 1976 animal study evaluated the effects of weak ELF electric fields similar to those associated with Project Seafarer on mice. The abstract reports that electric field exposure acted as a biological stressor, with effects involving the central nervous and endocrine systems. It is presented as part of broader research assessing potential physiological changes from high-power, low-frequency electromagnetic communication systems.